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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/covid-19-genome-assembly
课程评论：没有评论
课程名称：黑客COVID-19 — 课程1：识别致命病原体 课程概述：在本课程中，您将跟随生物信息学家的脚步，调查COVID-19疫情，通过组装SARS-CoV-2基因组来了解这一过程。无论您是计算生物学的新手，还是希望了解其在COVID-19大流行中应用的生物信息学专家，或者介于两者之间，这门课程都适合您！在学习过程中，我们将介绍并解释基因组概念，为您提供众多实践机会，并通过一系列难度逐渐增加的问题来提升您的技能。本课程仅讨论SARS-CoV-2基因组的组装，后续课程将探讨在COVID-19大流行中使用的后续生物信息学分析。 课程大纲： 第一周：在第一章中，我们将回顾2003年SARS爆发的历史。接着，我们将追溯到2019年底，了解SARS-CoV-2的起源，这种新型病毒在COVID-19大流行中造成了严重影响。最后，我们将探索这种神秘病毒的生物学，迈出黑客COVID-19的第一步。 第二周：在第二章中，我们将学习现代技术如何将DNA分成小块进行测序。接着，我们将学习如何使用流行的基因组组装工具SPAdes，从小片段重建SARS-CoV-2基因组。最后，我们将学习如何使用QUAST来评估我们组装的SARS-CoV-2基因组的质量。
Name:Week 1
Description:In Chapter 1, we will first travel back in time to learn about the history of the SARS outbreak of 2003. Next, we will travel to late 2019 to learn about the origins of SARS-CoV-2, a novel virus that wreaked havoc upon the world during the COVID-19 pandemic. Lastly, we will explore the biology behind this mysterious virus as we take our first steps towards Hacking COVID-19.
Name:Week 2
Description:In Chapter 2, we will learn about how modern technologies are able to sequence DNA in small chunks. Next, we will learn how to use SPAdes, a popular genome assembly tool, to reconstruct the SARS-CoV-2 genome from small fragments. Lastly, we will learn how to use QUAST to assess the quality of our assembled SARS-CoV-2 genome.
In this course, you will follow in the footsteps of the bioinformaticians investigating the COVID-19 outbreak by assembling the SARS-CoV-2 genome. Whether you’re new to the world of computational biology, or you’re a bioinformatics expert seeking to learn about its applications in the COVID-19 pandemic, or somewhere in between, this course is for you! As you go through this journey, we will introduce and explain genomic concepts and give you many opportunities to practice your skills, and we will provide a series of problems with gradually increasing complexity. This first course will only discuss the assembly of the SARS-CoV-2 genome, but future courses in this series will explore follow-up bioinformatics analyses used in the COVID-19 pandemic.
